• DocumentCode
    2251251
  • Title

    State of the Art in Gait Analysis Using Wearable Sensors for Healthcare Applications

  • Author

    Zhang, Bofeng ; Jiang, Susu ; Wei, Daming ; Marschollek, Michael ; Zhang, Wu

  • Author_Institution
    Sch. of Comput. Eng. & Sci., Shanghai Univ., Shanghai, China
  • fYear
    2012
  • fDate
    May 30 2012-June 1 2012
  • Firstpage
    213
  • Lastpage
    218
  • Abstract
    The ability to measure human movement accurately forms an essential part of a clinical assessment, thus allowing the efficacy of therapeutic interventions to be determined. The most commonly used clinical method for assessing human movement is goniometry, motion capture system, Electromagnetic tracking systems and so on. There are some essential limitations in each method. Inertial sensors such as accelerometers, magnetometers and gyroscopes have the potential to be used for assessing human movement in various environments. Numerous studies have reported using systems based on accelerometers or gyroscopes. These two types of sensors may also be combined to study human motions with good accuracy. The present study employed an inertial system which utilized such fusion technology which is reported to provide motion data with better accuracy. This paper reviews walking analysis using wireless inertial sensors currently, analyzes the features of this methods comparing with other methods, and indicates the key problem and the future direction and application domains.
  • Keywords
    accelerometers; biosensors; computerised instrumentation; gait analysis; goniometers; gyroscopes; health care; magnetometers; medical computing; accelerometers; clinical assessment; electromagnetic tracking systems; gait analysis; goniometry; gyroscopes; healthcare applications; human movement measurement; inertial sensors; magnetometers; motion capture system; therapeutic interventions; walking analysis; wearable sensors; wireless inertial sensors; Accelerometers; Diseases; Humans; Legged locomotion; Senior citizens; Sensor systems; ambulatory system; gait analysis; inertial sensor; walking analysis; wireless;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Information Science (ICIS), 2012 IEEE/ACIS 11th International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4673-1536-4
  • Type

    conf

  • DOI
    10.1109/ICIS.2012.100
  • Filename
    6211099